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README.md

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-EXL2 quants of Mistral-7B-instruct
-
-Converted from [Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1). This is a
-straight conversion, but I have modified the config.json to make the default context size 7168 tokens, since in
-initial testing the model becomes unstable a while after that. It's possible that sliding window attention will
-allow the model to use its advertised 32k-token context, but this hasn't been tested yet.
-
-[2.50 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/2.5bpw)    
-[2.70 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/2.7bpw)    
-[3.00 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/3.0bpw)    
-[3.50 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/3.5bpw)    
-[4.00 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/4.0bpw)    
-[4.65 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/4.65bpw)    
-[5.00 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/5.0bpw)    
-[6.00 bits per weight](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/tree/6.0bpw)    
-
-[measurement.json](https://huggingface.co/turboderp/Mistral-7B-instruct-exl2/blob/main/measurement.json)